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The average number of accidents at controlled intersections per year is 5.2. Is this average a different number for intersect
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Answer #1

Note: Final answers are highlighted in colour.

a) As we dont know the population standard deviation, For this study we should use 1 sample t test.

b)The null and alternate hypothesis would be

H0: \mu_0=5.2

H1: \mu_0\neq5.2

c)

Test statistic= \frac{\overline{X}-\mu_0}{S/\sqrt{n}} = \frac{5.2-5.2}{1.25/\sqrt{68}} = 0

d)p value for t=0, degrees of freedom =67 is 1

e) The p value(1) is > \alpha (0.1)

f)Based on this, we should not reject the null hypothesis.

g)Thus, the final conclusion is that.

The data suggest that the population mean is not significantly different from 5.2 at alpha= 0.10, so there is statistically insignificant evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is different from 5.2 accidents. (Option 2)

h) I felt none of the options are correct

i)Level of significance is the probability of rejecting a correct null hypothesis. In the context of the current study,

If the population mean number of accidents per year at intersections with cameras installed is 5.2 and if another 68 intersections with cameras installed are observed then there would be a 10% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is different from 5.2 (Option 2)

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